Papers
3
Total Citations
13
H-Index
2
About
Tristan Venot is a researcher at the forefront of noninvasive brain–computer interfaces (BCIs), with a focus on enhancing user control and the subjective experience of agency. His work primarily explores multimodal BCI systems, integrating brain signals with peripheral inputs like eye tracking to overcome the limitations of traditional motor imagery-based BCIs. Venot’s key contributions include investigating the phenomenon of *intentional binding*—the sense of ownership over actions—as a novel metric for BCI control, a concept detailed in his most-cited 2024 paper (8 citations). He has also demonstrated how peripheral control modalities impact motor cortex activity and the user’s sense of agency, paving the way for more intuitive and reliable hybrid BCI architectures. By advocating for enriched, engaging feedback environments to improve embodiment and performance, Venot’s work addresses critical challenges in real-world and clinical BCI applications. His research, though early in citation impact, is shaping the next generation of noninvasive BCIs that are not only more accurate but also more natural and user-centered.
Research Focus
Key Achievements
Top Papers
- 1Intentional binding for noninvasive BCI control8 citations · 2024
- 2
- 3Exploring strategies for multimodal BCIs in an enriched environment2 citations · 2022